We build software that break operational
bottlenecks.|
We build production AI infrastructure for European and US-Based mid-market companies. Eight weeks, fixed scope, lean pods.
A pod beats a hire, every time.
AI NATIVE ENGINEERING DISCIPLINE.
Evals before features.
We write the test suite before we write the prompt. Production AI without evals is a demo waiting to fail.
Telemetry from day one.
Production data drives the next iteration. "The model is wrong" is unfalsifiable without instrumentation, so we instrument first.
Owned infrastructure.
You hold the keys: code, hosting, data, models. Our value is the build discipline, not infrastructure lock-in.
AI Consultation
Get a free AI-generated diagnostic preview in minutes. Two paths: structured intake or chat with our AI.
Coming SoonPROVEN OPERATIONAL TRANSFORMATIONS.

Built a production operations dashboard for a European F&B operator. Centralises real-time data across locations, replacing fragmented manual tracking with a single decision surface for operators and managers.

Engineered a logistics and auction marketplace combining bidding mechanics and shipment tracking into a single application. Demonstrates full-stack capability across complex business logic.

Built a full lead generation and appointment-setting platform for a real estate agency. Delivered a client-facing web system that automates pipeline management for ambitious estate agents operating across AU.
Fixed scope, zero surprises.
Diagnostic
Map the bottleneck. Get the build spec. Sign without procurement.
- Embed with ops & engineering
- Target users + data inventory
- System architecture design
- Eval criteria + ROI projection
- 8-week build plan
- 15–25 page doc + 90-min readout
Build
Ship production AI. Fixed scope, protected by the Diagnostic contract.
- 2–3 AI Product Engineers
- Production-deployed software
- Eval harness + regression suite
- Telemetry & monitoring
- Runbook + handoff documentation
- 4-week post-launch warranty
Retainer
Ongoing pod access. The only SKU that compounds.
- Eval suite maintenance
- Drift detection
- Prompt & model upgrades
- 1 new feature shipped/month
- Quarterly business reviews
- Continuous ROI tracking
Express Site
NEW3-page Next.js site, contact form, SEO, Vercel deploy, 5 business days.
WORLD-CLASS PRODUCT, BUILT IN BALI.


The Delivery Pod
A flexible unit of 2–3 AI Product Engineers. Domain experts converted into AI-native operators, shipping production-ready infrastructure end-to-end.
SOLVE YOUR BOTTLENECK TODAY.
Start a Diagnostic
Scope your first AI transformation project with a 2-week Diagnostic.
The knowledge base.
PRIONATION.io builds production AI infrastructure for European and US-based mid-market companies (€5–50M revenue). Fixed scope. Fixed price. Lean pods. 8 weeks from signed to shipped. Starting at €5,000 for a 2-week Diagnostic.
Common questions
What is AI product engineering for mid-market companies?
AI product engineering is the practice of building production AI infrastructure — not proofs-of-concept — that operates within real business workflows. For mid-market companies (€5–50M revenue), it means shipping AI products that replace manual operations within a fixed 8-week timeline, with evals defining done and clients owning all code and infrastructure.
How much does an AI build engagement cost for a €10–50M company?
PRIONATION's AI build engagements run €25,000–55,000 for an 8-week production build. The process starts with a 2-week Diagnostic at €5,000–7,000 to map the bottleneck and confirm scope. Over 60% of Diagnostics proceed to a Build. Ongoing pod access runs €4,000–9,000/month.
What does 'client owns the infrastructure' mean in practice?
At the end of every engagement, the client holds the GitHub repository, the cloud infrastructure credentials, the model provider accounts, and all telemetry data. PRIONATION delivers into the client's environment from day one. When the retainer ends, the client keeps running independently.
How is a lean pod different from hiring an AI engineer?
A 3-person PRIONATION pod costs €25,000–55,000 per project, ships in 8 weeks, and comes with evals, telemetry, and a 4-week warranty. A single AI engineer hire costs €150,000–250,000/year loaded (salary + benefits + recruitment), takes 3–6 months to ramp, and carries significant hire-quality risk. The pod is the de-risked path until internal AI engineering capability scales.
What is the PRIONATION Diagnostic?
The Diagnostic is a 2-week fixed-scope engagement at €5,000–7,000. It maps the single highest-ROI operational bottleneck, defines the AI build scope, produces the eval suite specification, and delivers a production-ready architecture proposal. It is the required entry point before any Build engagement.
How does PRIONATION handle AI consulting for European companies?
PRIONATION serves EU-based mid-market companies from a remote-first structure (HQ Bali, CRO in Paris). All engagements are quoted in EUR. Client infrastructure remains within EU-compliant hosting where required. The foundation operates in English and French.
What is the post-launch warranty?
Every Build engagement includes a 4-week post-launch warranty. If production performance falls below the eval thresholds defined at the start of the build, PRIONATION fixes it at no additional cost.